# 训练配置信息

model_name = "BMN"

prop_boundary_ratio = 0.5
num_sample = 32
num_sample_perbin = 3

batch_size = 4 #single card bacth size
num_workers = 2

boundaries= [4200]
values = [0.001, 0.0001]
weight_decay = 1e-4

epochs = 9 
log_level = "INFO"

model_name = 'BMN'

train_shuffle = True   # 是否进行混淆操作
valid_shuffle = False  # 是否进行混淆操作
drop_last = True       # True表示丢掉最后一个不满足 batch_size 大小的 batch     
return_list = True

framework = 'BMNLocalizer'
log_interval = 10    # 每隔多少步打印一次信息
save_interval = 5   # 每隔多少轮保存一次模型参数

tscale = 100
dscale = 100
file_path = "D:/mnt/FineAction/i3d_all_feature/annotations_gt.json"
feat_path = "D:/mnt/FineAction/i3d_all_feature"

input_dim = 4096